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Author Hu, Rui ♦ Gayol, Carlos Pallán ♦ Krempel, Guido ♦ Odobez, Jean-Marc ♦ Gatica-Perez, Daniel
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Context Information ♦ Unique Glyph Datasets ♦ First-order Markov Chain ♦ Glyph Retrieval Accuracy ♦ Basic Co-occurrence Model ♦ Novel Shape Bench-marks ♦ Re-cent Local Shape Descriptor ♦ Gradient Field Histogram ♦ Future Research ♦ Orien-tation Shape Context ♦ Maya Glyph Block ♦ Experimental Result ♦ Automatic Maya Hieroglyph Retrieval Method ♦ Orientation Gradient ♦ Visual Matching ♦ Retrieval Result
Abstract We propose an automatic Maya hieroglyph retrieval method integrating shape and glyph context information. Two re-cent local shape descriptors, Gradient Field Histogram of Orientation Gradient (GF-HOG) and Histogram of Orien-tation Shape Context (HOOSC), are evaluated. To encode the context information, we propose to convert each Maya glyph block into a first-order Markov chain and apply the co-occurrence of neighbouring glyphs. The retrieval results obtained based on visual matching are therefore re-ranked. Experimental results show that our method can significantly improve the glyph retrieval accuracy even with a basic co-occurrence model. Furthermore, two unique glyph datasets are contributed which can be used as novel shape bench-marks in future research.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study